Treffer: Teaching Earth Signals Analysis Using the Java-DSP Earth Systems Edition: Modern and Past Climate Change

Title:
Teaching Earth Signals Analysis Using the Java-DSP Earth Systems Edition: Modern and Past Climate Change
Language:
English
Source:
Journal of Geoscience Education. Nov 2014 62(4):621-630.
Availability:
National Association of Geoscience Teachers. Carleton College W-SERC, One North College Street, Northfield, MN 55057. Tel: 540-568-6675; Fax: 540-568-8058; e-mail: jge@jmu.edu; Website: http://nagt-jge.org
Peer Reviewed:
Y
Page Count:
10
Publication Date:
2014
Sponsoring Agency:
National Science Foundation (NSF)
Contract Number:
0719714
0817596
Document Type:
Fachzeitschrift Journal Articles<br />Reports - Research
Education Level:
Higher Education
Geographic Terms:
ISSN:
1089-9995
Number of References:
30
Entry Date:
2017
Accession Number:
EJ1163870
Database:
ERIC

Weitere Informationen

Modern data collection in the Earth Sciences has propelled the need for understanding signal processing and time-series analysis techniques. However, there is an educational disconnect in the lack of instruction of time-series analysis techniques in many Earth Science academic departments. Furthermore, there are no platform-independent freeware tools available for teaching Earth signals analysis. In order to address these issues, we developed the "Java-Digital Signal Processing/Earth Systems Edition" ("J-DSP/ESE"), a platform-independent software tool that can be integrated with the Earth Science university curriculum for signal processing and analysis instruction. This tool has an intuitive block-based programming environment, and students do not need be familiar with any programming language to use it. In order to demonstrate the utility of this software in an instructional environment, we developed three tutorials related to basic signal processing, and signal analysis of modern and past climate change. The tutorials use published data to examine the relationship between 20th century atmospheric CO[subscript 2] and global temperature, and the relationship between ocean temperature and solar radiation over the past 300,000 y. The tutorials were administered in two workshops with different communities of students in Earth Science and electrical engineering. Our technical assessments show that the students were able to comprehend basic signal processing and analysis of climate signals using "J-DSP/ESE." In the subjective assessments, a vast majority of students stated that the software was easy to learn and use, and that it significantly improved their understanding of climate change.

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